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Physica 1llA (1982) 577-590 North-Holland Publishing Co.
MEMORY EFFECTS IN THE DIFFUSION OF AN
INTERACTING POLYDISPERSE SUSPENSION
II. HARD SPHERES AT LOW DENSITY
R.B. JONES and G.S. BURFIELD
Department of Physics, Queen Mary College. Mile End Road, London El 4N.S. Englund
Received 17 August 1981
We consider the diffusion of a low density suspension of polydisperse hard spheres. In a
previous article (I) we have obtained at long wavelength a general expression to first order in
density for the memory matrix appropriate to such a system. In the present article we evaluate
the memory rnatrix in closed form using certain approximations for the hydrodynamic interaction
and for the 2-body propagator. We find that memory effects convert the exponential decay of
density correlation functions to long time power law decay of the form t “*. We consider the
so-called long time self-diffusion constant and show that memory effects to first order in density
are negligible compared to the first cumulant contribution. Our treatment shows that for hard
sphere systems it is essential to treat the short distance hydrodynamic forces accurately.
1. Introduction
In a preceding article (I) we used a projection formalism to derive a low
density long wavelength expression for the memory matrix associated with
diffusion in a polydisperse suspension. In the present article we will explicitly
evaluate the memory matrix for hard spheres using an approximation for the
2-body diffusion propagator. The approximation is to neglect hydrodynamic
interaction in the propagator but to keep the hydrodynamic factors which
multiply the propagator. We find that the 2-body diffusion propagator
generates a branch point in the Laplace transform of the memory matrix
which implies a KS” long time power law decay of the density-density
correlation matrix. Our polydisperse formalism includes the case of self-
diffusion. We find that for the so-called long time self-diffusion constant,
memory effects make only a small alteration to the first cumulant result. We
show that other calculations of this long time result for hard spheres have not
correctly treated the short distance hydrodynamic forces. While our treatment
is an improvement on earlier results it too has short distance errors that can
be eliminated only by numerical study of the short distance hydrodynamic
forces.
0378-4371/82/OOOMIOOO/$O2.75 @ 1982 North-Holland
578 R.B. JONES AND G.S. BURFIELD
2. Direct force effects in the hard sphere limit
In (I) we derived a memory equation for the density-density autocor-
relation matrix F(k, t) of the form
dF(k, t) -- = - K(k)O(k)F(k, t) +
dr I M(k. t - t’)O(k)F(k, t’) dt’. (2.1)
In Laplace transform language this becomes
fi(k, s) = [sI + K(k)O(k)- h?(k. s)O(k)lm’O !(k). (2.2)
where F, K. 0, M. 1 are matrices in species space with I a unit matrix. In (I)
we also obtained the forms of K, 0 and M in the long wavelength limit to
order k’ and to first order in density. For the memory matrix we had
tiao(k, s) = k . fi”““(s) + k + B(k’), (2.3)
where
/L+“(s) = 2 n” dl e d”W/k~T~nt~(~) dl’G”“(I, 1’: s)h”‘(l’), L’IU
(2.4)
and for (Y f CT.
/Q”“(s): (n”n~r)‘/? I dl e P’(llikl~Thmr( _ 1) dl’G”“(l, 1’; s)h”“(lf). (2.5)
In these equations Greek indices are species labels and rr’l denotes the
number density of particles of species p in the suspension. The quantity h””
was given as follows:
h”“(ri” - r,J = - (kBTlm’Fi,,.iC, * (&!I + A”“(r),, - rtc,) - B”“(r,,, ~ r,J)
- V,,, * (A”“tr,,, - r,,,) ~~ B”“(r,,, - r,,,)). (2.6)
Here F’i,,,, = - Vi,4”“(Ir,_ - rlR/) is the direct force on particle i,, due to particle
i, and A, 6 are hydrodynamic interaction tensors’).
For hard spheres the direct potential $““(I) is an infinite step at 111 =
R, + R,, where R, denotes the radius of the sphere of species CY. We can
represent the hard sphere as the limit of a sequence of short range smooth
repulsive potentials which become infinite when the spheres touch. For such a
smooth potential we write the combination - (keT)m’Fim,iu exp( - 4”“/kRT) which occurs in eqs. (2.4) and (2.5) as Vim exp( - $““/k,T). If we now take the
hard sphere limit the function exp( - $“‘/kaT) becomes a step function and we
have a delta function from its derivative
MEMORY EFFECTS IN 'THE DIFFUSION OF A SUSPENSION II 519
Vi.&-d”“iw) = H 8((ri_ - r,“l- R, - R,). n ”
(2.7)
In the I integration (I = ri, - ri,,) the delta function contributes only when
spheres i, and i, touch. Because Fia,iP multiplies a hydrodynamic mobility
tensor in (2.6) we will obtain from the radial integration over I the result
I - (Do” 1 + A”“(l) - B”“(l)) evaluated at III = R, + R,. When the spheres touch
however, the series expansions*) of A, 6 break down and we must use exact
results for the total mobility tensor such as those given by Batchelor’). For
two spheres of identical radius R a comparison of A, B as defined in
reference I with Batchelor’s mobility tensor notation shows that
1 - (Do7 + A(l) - B(l)) = 6TrlR keT (A,,(;) - An(;))6 (2.8)
where A,, -A,? is that combination of mobilities in Batchelor’s notation
appropriate to the case when two spheres are pulled towards each other. For
that configuration A,, - An vanishes exactly when the spheres touch. An
equivalent statement is that the hydrodynamic friction force becomes infinite
when the spheres touch. This remains true in creeping motion hydrodynamics
even if we use slip boundary conditions4) and should be true also for spheres
of different sizes. Thus for hard spheres the direct force term in (2.6)
contributes nothing to memory effects at low densities. (Note that the cross
term in eq. (2.4) where Fi,,i” occurs in h,“(l’) is handled in the same way by
using the reciprocity relation for the Green’s function derived in (I) to replace
exp(- 4”“(l)/keT) by exp(- 4”“(l’)/kBT).) Even if F is not strict hard sphere
in character but is still very short range, say less than a particle radius, then
the exact mobility tensors will still be small and there will be little con-
tribution to memory effects from the direct force. For long ranged forces such
as screened Coulomb forces the direct forces would be important but we do
not consider this case further in this article.
From the above discussion we see that for polydisperse hard spheres it is
the divergence term in eq. (2.6) which produces memory effects to first order
in density’). In (I) we gave a general expression derived by a method of
reflections for these divergences valid for any hydrodynamic boundary con-
dition at the particle surfaces. For the rest of this article we specialize to the
case of strict hard spheres with stick boundary conditions. In that case we can
use reference 2 to get the following explicit form of h”“(I)
(2.9)
where r) is the solvent shear viscosity and I = ri, - ri,. The constants X”“, YaV
5 x0 R.R. JONES AND G.S. BURFIELD
and Z”” are
X ‘“” = 5 R ;..
(2. IO)
Because the expression (2.9) is derived by a series expansion in reflections it
is quite accurate at reasonable particle separations when the convergence of
the series is rapid. It is certainly not quantitatively accurate when the
separation of particle centres is less than 2(R,, + R,.). In the last section of this
article we will use numerical results given by Batchelor’) to estimate how well
h”“(l) is represented by eq. (2.9).
3. Memory matrix evaluation
To compute the integrals in eqs. (2.4) and (2.5) requires an explicit form of
the Green’s function G”“(I, I’; s). This was defined in (I) as the exact pro-
pagator for the relative diffusion of two particles including both direct and
hydrodynamic interactions. Unfortunately there is no way to obtain G”’
analytically if hydrodynamic interactions are included. For that reason we
approximate G”” by neglecting the hydrodynamic tensors A and B and
retaining only the free diffusion term (D’;, + II;;) 7. In appendix A we indicate
how a closed form expression for G”” may be obtained with this assumption.
This approximation is used in other comparable calculationsh.7.x). In appendix
B we investigate the type of errors involved and argue that short distance
errors are more significant than long distance errors and moreover that the
short distance error in G”” partly compensates for the short distance errors in
h”‘(l) noted in the previous section.
To evaluate the diagonal element 1\;[““(k. s) we require the following
integral:
k?d”“( s) _ II
dl dl’e d”L”“‘hH’(k . h”“(l))G”“(I. I’: .S )(k . h”“( I’)). (3. I)
With the approximate form of G”” from appendix A we can integrate over the
directions of I and I’ in (3.1) to obtain
x I
dl’Ac;“(l, 1’; s) F+F+- , I 1
(3.2)
MEMORY EFFECTS IN THE DIFFUSION OF A SUSPENSION II 581
where
3 AY(L 1’; s) = 2azD,,(D,y/s)m [ i,(v)kr(v’) - k;(2)T) m k,(v)k,(u’)]. (3.3)
Here D,,. = D{ + Dt;, R,, = R, + R,, v = (s/D,,)“*/, V’ = (s/D~~)“*!‘, z)T =
(s/D,,)“*R,,, and i,(v), k,(u) are related to modified Bessel functions as
explained in appendix A.
For the off-diagonal element l\;l”“(k, s), (Y f U, we require the integral
k2euu( s) = dl dl’ emm”“c’)‘kBT(k * h”(- I))G”“(I, I’; s)(k . h*“(Z’)).
After the integration over angles this becomes
es”(s) = - (F,’ j dl [y+y+y]
R a” cc
X I dl’AT”(1, 1’; s) T+F+$ 1 .
R (IO
Note that ear(s) = eUa(s). The memory matrix (2.3) becomes
n;i’+(k, s) = k* 2 n”dpLY(s), (3.6a)
and for p f y
$fwy(k, s) = k2(npnY)“2epr(s).
(3.4)
(3.5)
(3.6b)
The remaining radial integrations cannot be expressed in useful closed form
except in certain limits such as the small s (long time) limit. It is clear
however that both d’“(s) and e&“(s) are analytic functions of s apart from
square root branch points at s = 0, s = to. We define a principal branch for
these functions by taking a cut to run from s = 0 to s = - M along the negative
real axis of s. The autocorrelation matrix E(k, s) in eq. (2.2) also has these
branchpoints. For later reference we note that these branch-points arise from
the diffusion propagator G”“(I, I’; s) which is approximate. We hope that the
neglected hydrodynamic interactions will not alter the branchpoint structure
on which the long time results depend.
4. Long time behaviour
From eq. (2.2) we see that to zero order in density when interactions are
ignored the autocorrelation matrix E@(k, s) is diagonal of form (s +
582 R.B. JONES AND G.S. BURFIE1.D
k2Dz))‘G”P. In the time variable F”“(k, t) would be 6”” exp( -k’D{t) and the
autocorrelation function of scattered light as given in (I) would be a sum of
exponentials weighted by the scattering amplitudes of the different species.
The first order interaction effects change p’@(k, s) from a function with
simple poles on the negative real s axis to a function with a cut instead. The
matrix 6’@(k. s) now has a discontinuity across the cut for s real and
negative,
disc paO(k, s) = PnC((k, s + it)) - P”a(k. s - i0). (4. I)
which we will call the spectral function. The
reduce to a contour integral around the cut
integral over the spectral function,
F”“(k,t)=& 1 e,” disc fi‘“@(k, s) ds.
0
inverse Laplace transform will
which can be expressed as an
(4.2)
The poles in the zero order p@(k, s) correspond to delta functions in the
spectral function. The first order interaction effects spread out these delta
functions moving the poles through the cut just off the principal sheet of
p@(k, s). This means that the spectral function is still sharply peaked near the
free diffusion points s = -k2D$ but there is now spectral strength extending
to s = 0. At short times the peaks dominate to give exponential like decay.
But for t ti (k’D,$ only the spectral weight near s = 0 matters and this we
can obtain in closed form from the approximate expressions in section 3.
For simplicity we now assume that there are only two species of particle
present labelled a and b with number densities n”, nh. Using the results of (I)
for the matrices K and 0 we have that
(4.3)
where
u (I0 = k?{D;;[n”(C”” + c$“)+ nhC’kh] - nhdah(s)},
U uh = k2(n”nh)“2[D;Cah ~ @‘(s)l,
U ba = k2(n”nh)“2[D1;Cha ~ rh”(s)], (4.4)
U hb = k2{D;[nb(Chb + C'ib)+ n"chq] - n”d’“(s)}.
Here (7’“” = Cc + Cg+ CE”+ CT’ with the constants Cyi;;, C’E’. C‘S”. Cyj’, CT’
given elsewhere’). If we compute the inverse of (4.3) and use it in eq. (2.2)
keeping only terms up to first order in density we get
MEMORY EFFECTS IN THE DIFFUSION OF A SUSPENSION II 583
l+p(k, s) = (s + k’Do”)-‘[Sdp - (n"nP)"*C~] -(s + k*D;)-‘(s + k*D{)-'uaP.
(4.5)
The branchpoint occurs here in the second term of (4.5) so that
nh disc d”“(s)
disc F(k, s) = k* (s + k*D;;)*
(n“n”)“* disc eho(s) (s + k*D;f)(s + k*D;)
(non’)“* disc e”‘(s) (s + k*D$)(s + k*D$j
n” disc d’“(s) (4.6)
(s + k*Dt;)’
To obtain the discontinuities of d”“(s), e@(s) for small s we use the result
disc AyP(l, 1’; s) =
(4.7)
for s real and negative. With this small s expression the remaining radial
integrals in (3.2) and (3.5) can be carried out to give the following expressions:
27 Xa”Z”p 25 (Y”p)2 5 Y”pz”” 27 (Z+‘)’
‘224 RS,, $864 Rt8 +112 R& +i%iT (4.8)
disc e@(s) = 2rD (b&(+jy~X;~~~ I ;:W”Y”~~J”“Y”“) aB
27 (X”“Zap + X@Z@“) 25 Y ““Y ap %224 R& +m R&
5 (Y”“z”p+ Y”PZ”“) 27 Z”“Z”” $112 R7,, +784 R$ I ’ (4.9)
To simplify these complex expressions let us henceforth assume that
species a and species h are identical apart from light scattering power. This
assumption will also facilitate discussion of self-diffusion when we can take
species a to be a single tagged particle among otherwise identical h type
particles. Under these conditions R, = Rb = R, 0: = 0; = Do and d”‘(s) =
d’“(s) = -e”‘(s). We can then obtain to lowest order in s
disc 6’(k, s) = $ (&O)($-)3”(&$)2~ ( _(n?ib)l,T -(numb)“‘).
(4. IO)
Here 1.9 is a numerical factor arising from evaluation of (4.8) for identical
particles. If we use this result in eq. (4.2) we obtain as the leading term at long
5x4 R.B. JONES AND G.S. BURFIELD
times
(4.11)
where 4” is a volume fraction, 4” = 47rR’n”/3.
We have shown that the diffusion induced branchpoint at s = 0 leads to a
t-“’ decay for F(k. t) at long times rather than pure exponential decay. This
weak long time tail may not be accessible to experimental observation
however because by the time it becomes dominant over the initial exponential
decay very many particle collisions will have occurred so that contributions
of higher order in density may be significant as well. Although our calculation
shows M(k. t) and F(k, t) to be long lived it is common in the literature to talk
about a long time diffusion constant obtained by decoupling the memory term
in eq. (2.1) by writing at large t
dF(k, t) ~ = ._ dt KOF(k. r)+ (1 M(k. t’) dt’)OF(k, t)
= -(K - ti(k. O))OF(k, f)
= ~ K,~OF(k. t). (4.12)
where Kr. is a long time cumulant matrix. We can readily evaluate K, in our
calculation. We use the result
to obtain
(4.13)
(4.14)
39 ZO”Z”” + 1078 R::
(4.15)
To simplify matters we again take species a and h to be-identical as in the
derivation of (4.1 I). One then obtains
MEMORY EFFECTS IN THE DIFFUSION OF A SUSPENSION II 585
ti(k, 0) = 0.08k2Do(_ ($$,),,2 -(‘;$b)“2),
which together with K from (I) gives an explicit result for KL.
(4.16)
5. Self-diffusion
We get the autocorrelation function of self-diffusion in our formalism by
choosing species a to consist of one particle only while species b comprises
all other particles which can be taken as identical in structure to particle a.
Then eqs. (4.11) and (4.16) directly give self-diffusion results by setting
4“ = 0, $b = 4. From eq. (4.11) we predict for self-diffusion a long time tail of
the form
FS(k, t) = F”“(k, t) = 21.2y (A) 5/z
(5.1)
If we try to identify a long time diffusion constant from eqs. (4.12) and (4.16)
we obtain at large t
dFS(k t) 1- = - k2D&FS( k, t) = - k2Do[ 1 + nCA - 0.08+]Fs(k, t).
dt
The term nCA arises from the first cumulant. Using the expression for A calculated by reflections Felderhof’) obtained nCA = - 1.734 while a numeri-
cal evaluation by Batchelor3) gave nCA = - 1.834. Since we are using the
tensors A and 6 as calculated by reflections we will use Felderhof’s result.
The memory term contributes the very small correction -0.084 to the first
cumulant result. The net result to first order in volume fraction is then
D&, = Do(l - 1.814). (5.2)
We can use (5.1) to see that the long time tail is difficult to detect
experimentally. Assuming 4 = 0.1 and kR = 0.1 we compare the magnitude of
(5.1) with the exponential result for non-interacting diffusion exp(- k2Dot).
The tail in (5.1) becomes comparable to or greater in magnitude than the
exponential only for times t such that k2D t 0 b 20. This time scale is too long
for present experimental techniques6). Moreover on such a time scale the
particle would diffuse a distance of about a hundred interparticle separations
and thus could have collided many times with other particles. In such a time
regime a result calculated only to first order in density is of doubtful
relevance to any experimental observations.
The result (5.2) for D&,,,, is noteworthy chiefly because it is essentially
unchanged from the first cumulant result. In other calculations much larger
586 R.B. JONES AND G.S. BURFIE1.D
memory effects are quoted. For example one evaluation”) of a mode coupling
expression to first order in density gave
where the -44/j represents the mode coupling or memory effect. A sub-
sequent calculation by Marqusee and Deutchx) criticised this result on the
basis that Oseen tensor contributions to the hydrodynamic interaction
changed - 4&/3 to - 0.074. On the basis of the calculations presented here we
can say that the factor -4/3 corresponds to keeping the free diffusion part of
(2.6), which is DEl, and putting the tensors A and B equal to zero while
approximating the 2-body propagator by a free diffusion propagator without
any excluded volume effects (keeping only the 1/(47~D,,~~) in (4.13)). The
correction to this which Marqusee and Deutch*) calculate keeps the Oseen
part of B in the direct force part of (2.6) but neglects A and the divergence
terms completely. What we have shown is that the direct force contribution is
identically zero to first order in density and the entire first order result of
-0.084 is from the divergence terms of (2.6). Our conclusion is that to first
order in density DF,,,ny is dominated completely by the first cumulant effect of
the static background of other particles mediated by the tensor A which is the
source of the - 1.73b term.
6. Discussion
Our results in the preceding article (I) and in the present article indicate that
for hard sphere suspensions or for suspensions with very short range direct
forces it is essential to treat the short range hydrodynamic interaction
accurately. By use of series expansions of the mobility tensors we have
improved on previous calculations at low densities but our results also
incorporate approximations. The chief qualitative result of our calculation is
that at long times memory effects change the exponential decay of density
correlations into power law decay as t “‘. In a calculation for a Coulomb
suspension Hess and Klein’) find a similar t mvz tail for the velocity autocor-
relation function of self-diffusion. In both cases the long tail arises from the
use of an approximate free diffusion propagator without hydrodynamic inter-
action in evaluating memory terms like m@(s). In appendix B we show that at
large distances this approximation is reasonable although it fails at short
distances. We expect that the t ~“’ behaviour will survive in an exact treat-
ment of the propagator but this point merits further study.
One quantitative result of our work is that, for the long time self-diffusion
MEMORY EFFECTS IN THE DIFFUSION OF A SUSPENSION II S87
constant, memory effects to first order in density are small as compared to the
first cumulant contribution. The numerical factor - 0.08 in eq. (4.16) is not to
be believed precisely but we think it is correct in order of magnitude. There
are two sources of error in obtaining this small number. One is that the
expression (2.9) for the divergence of the relative diffusion tensor is only
approximate. As explained in appendix B we can use numerical’) and exact4)
results for two identical hard spheres to obtain more precise values for this
divergence term at short distances. When the spheres touch our result in (2.9)
is a factor of 3.5 smaller than the exact result. When the sphere centres are
separated by three radii our expression is wrong by only about one per cent
and at greater separations our expression should become very accurate. Since
h”O occurs quadratically in the memory function we appear to have made a
serious underestimate of short distance contributions to the memory term.
This error however is partly compensated by the approximate Green’s func-
tion given in appendix A. The exact propagator should in fact vanish when the
spheres touch as argued in appendix B. Therefore although our ha@ is too
small at short distances, our Green’s function is too large and thus we expect
partial compensation of the two errors.
We conclude that for diffusion of dilute hard spheres the first cumulant
result should be reasonable even at experimentally long times of several
collision times. At higher densities many body effects will be more
pronounced and the present calculation suggests that in attempting to cal-
culate these great care will be needed with the short distance hydrodynamic
forces. In contrast, for suspensions with long range direct forces, the
dominant contribution to haP will be from the direct force term in eq. (2.6).
The short range behaviour of propagators and mobilities will not be so
important and it may well be a good approximation to use free diffusion
propagators and to approximate A and 6 by the first few terms from the
series of reflections.
Appendix A
The exact propagator of relative diffusion for two particles of species p and
v, G’““(I, I’; s), was defined in (I) as the solution to the differential equation
[s _ eP++“(I)v . e-P4JWl) T’“(1). V]G’“(l, I’; s) = 6(1 - I’), (A.1)
where p = (keT)-‘,
T”“(I) = (06 + Do”) 1 + AYl) + A”“(I) - 26’7l), (A.2)
and I = rF - rv. The boundary condition is that the radial component of VGP”
5X8 R.B. JONES AND G.S. HURFIEI>D
vanishes at infinite particle separation and also when the particle hard cores
touch. A widely used approximation7.X) consists of dropping the A, I3 tensors
while keeping the free diffusion part of T”“. Making this approximation for
hard spheres means we must solve the simpler equation
[s - D,,O’]GYl. I’; .s) = 6(1 ~~ I’). (A.3)
subject to the boundary condition aG’“/JI = 0 at 1 = R,,, -= R,, + R,. and at
I = r. Eq. (A.3) is readily solved by expansion in Legendre functions of cos 8.
where 8 is the angle between 1 and I’. We write
G*“ll, 1’; s) = 2 A$“(/, I’; .s)P,,(cos 0). n -0
Inserting this into eq. (A.3) we get for 1* 1’
Defining I’ = (s/D,,.)“‘l, the independent solutions of (A.5) are
where I,, tl~~~h K n t,l,Z, are modified Bessel functions.
For A:“(/, 1’: s) we write
A:“(I, I'; s) = u,&(E)+ h,,k,(r). I < I’
c,,,k,,(L.). I I I’.
(A.4)
(A.5)
(A.6)
(A.7)
By integrating (A.3) over an infinitesimal volume about I = I’ in the standard
way’“) we obtain two conditions at I = I’, firstly a continuity condition.
c‘,,k,, - u,,i,, - h,,k,, = 0. (A.8)
and secondly a jump condition on the first derivatives.
When the spheres touch at I = R,,. we have the boundary condition
” dl di, + h, !!!$ = 0,
One can readily solve these three conditions to obtain for I < I’.
(A.9)
(A. IO)
MEMORY EFFECTS IN THE DIFFUSION OF A SUSPENSION II 589
where UT = (s/D,,)“‘R,+ and i;, k; are first derivatives of i,, k,. For hard
spheres we have from the reciprocity condition given in the appendix to (I)
that .4:“(1, 1’; s) = A:“(I’, 1; s) which completes the definition of A:“(I, 1’; s).
Appendix B
Here we consider further the exact 2-body propagator for hard spheres
which is a solution to eq. (A.1). For simplicity let us assume two identical
spheres of radius R. The Green’s function equation becomes
[S - (V,Tij(L))Vi - Tij(l)ViVj]G(1, 1’; S) = 6(1 - I’), (B.1)
with
T(I) = 2[Do 1 + A( I) - i3( i)]. (B.2)
We may write T(I) in a way which relates to Batchelor’s notation3) as
T(1) = ${a(f)$+b(;)(l-$)),
with
a(f)=&($)-An($),
b($)=&,(f)-h(;).
(B.3)
(B.4)
Here AlI - AI2 and B,, - B12 are combinations of mobilities given numerically
by Batchelor3). One now can easily check that the divergence of T can be
expressed as
V . T(I) = I
f. (B.5)
Using spherical polar coordinates with I’ as polar axis one expands G in
Legendre functions as in (A.4) and obtains a differential equation for
A,(1, 1’; s) which for If 1’ is
u3.6)
with the boundary conditions dA,ldl = 0 at I = 2R and 1 = 00.
The exact short distance behaviour of a(l/R) has been given by Wolynes
and Deutch4) based on the exact solution of the creeping motion hydro-
dynamic equations in bispherical coordinates due to Brenner”). As 1+ 2R one
590 R.B. JONES AND G.S. BURFIELD
has
a(l/R) = 2(1/R - 2). (8.7)
Using (B.7) together with Batchelor’s tables’) of u(l/R) and h(l/R) enables us
to calculate V * T with reasonable precision for 1 = 2R (spheres touching) and
I = 3R. It is these values that were compared with the results from the
expansion in reflections in section 6. Since u(l/R) vanishes while h(l/R) tends
to a constant when the spheres touch we see that the differential equation
(B.6) forces A,,(!, 1’; s) to vanish as I -+ 2R. Thus the exact Green’s function
vanishes when the spheres touch unlike the approximate Green’s function in
appendix A. In the opposite extreme of large separation one has that4) as
I -+m, a(l/R) = 1 + O(R/I) and also b(l/R) = I + O(R/I) so that eq. (B.6) reduces
in that limit to the approximate equation (A.5). It would seem then that at
large distances the hydrodynamic effects are small corrections to the free
diffusion approximation while at short distances the corrections are large. It is
plausible that the solution to (B.6) still retains the branch point at s = 0 but we
do not know enough about the analytic properties of the functions ~r(l/R),
b(l/R) to prove this yet.
References
I) R.B. Jones, Physica 97A (1979) 113: 1llA (1982) 262. to be referred to as paper (1).
2) P. Reuland, B.U. Felderhof and R.B. Jones. Physica 93A (197X) 465.
3) G.K. Batchelor. J. Fluid Mech. 74 (1976) I.
4) Peter G. Wolynes and J.M. Deutch. J. Chem. Phys. 65 (1976) 450.
5) The fact that the non-vanishing divergence of the relative mobility tensor is significant in a
polydisperse suspension was first pointed out to our knowledge by Prof. G.K. Batchelor in an
invited lecture at the meeting on Structure and Dynamics in Dispersions of Interacting
Particles held at Leeds University in July 1980.
6) P.N. Pusey and R.J.A. Tough, in Dynamic I,ight Scattering and Velocimetry: Applications of
Photon Correlation Spectroscopy, R. Pecora. ed. (Plenum. New York. 19x1).
7) W. Hess and R. Klein. Physica 105A (1981) 552.
8) J.A. Marqusee and J.M. Deutch, J. Chem. Phys. 73 (1980) 5396.
9) B.U. Felderhof. J. Phys. All (1978) 929.
10) Jon Mathews and R.L. Walker, Mathematical Methods of Physics 2nd ed. (Benjamin, New
York, 1970).
II) Howard Brenner. Chem. Eng. Sci. 16 (1961) 242.